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assistant professor You hold a doctoral degree or have corresponding research expertise in fields such as Film Studies, Theater, Performing Arts, Digital Arts, Creative Technologies, Computational Media, Game
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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
tailored to individuals with similar molecular susceptibility patterns and responses to preventive treatments and actions. The area of research encompasses advanced computational methods based on multimodal
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for Assistant Professors with an international background. Our ambition is for you to be nominated for this programme, as one of Lund University’s candidates of excellence. Read more about the Swedish Research
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Biophysics environment at SciLifeLab, Solna, a collaborative hub for experimental and computational biophysics research. The shared resources, including cutting-edge cell biology laboratories, advanced
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the third cycle programme. Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. Read more on the
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Technologies for Transformative Change' and 'Exploring the Transformative Power of Digital Governance in Global Governance'. You are expected to contribute to the entire program, but will primarily work within
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computation. Duties The position includes research and teaching in the subject area. The associate professor is expected to have independent research activities, actively seek research funding, supervise
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to study host-microbiome interactions at the spatial level in the colon. The research activities of the doctoral student will focus on the experimental and computational analysis of spatial gene expression
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and activities connected to our PhD program. In addition to producing individual research, the applicant is also expected to interact with existing researchers within the department, and to contribute
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. The candidate will combine experimental and computational approaches. The project will start with bioinformatics-driven analysis, followed by integration of data generated from experimental models. Over time, the